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- CCTV praised the domestic AI resurrection summoning technique, and the terracotta warriors actually rapped with Uncle Gemstone?
- The Terracotta Warriors and Horses that have been sleeping for more than two thousand years have awakened? The opening line of Qin Opera brought us to the Loess Plateau. If they hadn't seen it with their own eyes, many viewers might not have imagined that they would be able to see the Terracotta Warriors and Gem perform "Army March" on the same stage in their lifetime. "Qinghai has long clouds and dark snow-capped mountains, and the lonely city looks at Yumen Pass in the distance." Although the music has changed, the ancient tune is still touching: the "AI resurrection summoning technique" behind this performance is called EMO, and comes from Alibaba Tongyi Laboratory. With just a photo and audio, EMO can turn a still image into a lifelike singing video, and accurately capture the ups and downs and ups and downs in the audio. In CCTV's "2024 China AI Festival", also based on EMO technology, the Northern Song Dynasty writer Su Shi was "resurrected" and shared the stage with Li Yugang
- AI 1125 2024-07-15 17:09:10
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- Tao Zhexuan highly recommends and checks it personally: Just follow this list to learn AI for Math
- In the field of AI for Math, if you have been unable to find the right resources, this list may be helpful. Just now, the personal blog of the famous mathematician Terence Tao has been updated again. This time they have compiled a list of useful resources, which focus on AIforMath and are designed to help those who want to enter the field of mathematical AI. The initiative of this list can be traced back to last year. The sponsoring organization was proposed by the seminar "Artificial Intelligence Assisted Mathematical Reasoning" organized by the National Academies of Sciences, Engineering, and Medicine of the United States. Tao Zhexuan served as the host of the seminar. Currently, the URL resources have been made public. URL: https://docs.google.com/document/d/1kD7H4E28656ua8jO
- AI 654 2024-07-15 16:28:33
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- A visualization tool that can find neural network bugs, included in the Nature sub-journal
- Recently, a sub-journal of Nature included the results of a study that could find out where neural networks go wrong. The research team provides a visualization method that uses topology to describe the relationship between the inference results of neural networks and their classification. This result can help researchers infer the specific circumstances of confusion during neural network reasoning and make artificial intelligence systems more transparent. Researchers reveal failure points in neural network inference Neural network spikes reveal inference errors: Research has found data graph spikes in neural network inference that are associated with blurred judgments and errors. Observing spikes can help identify failure points in AI systems. Lack of transparency in neural network reasoning processes: Neural networks are good at solving problems, but their reasoning processes are opaque, raising concerns about reliability. new
- AI 981 2024-07-15 16:19:52
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- LLM is really not good for time series prediction. It doesn't even use its reasoning ability.
- Can language models really be used for time series prediction? According to Betteridge's Law of Headlines (any news headline ending with a question mark can be answered with "no"), the answer should be no. The fact seems to be true: such a powerful LLM cannot handle time series data well. Time series, that is, time series, as the name suggests, refers to a set of data point sequences arranged in the order of time. Time series analysis is critical in many areas, including disease spread prediction, retail analytics, healthcare, and finance. In the field of time series analysis, many researchers have recently been studying how to use large language models (LLM) to classify, predict, and detect anomalies in time series. These papers assume that language models that are good at handling sequential dependencies in text can also generalize to time series.
- AI 1580 2024-07-15 15:59:41
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- Digital-real integration, digital-intelligence innovation, the 2023 China E-Commerce Conference was held in Beijing
- On the afternoon of September 2, the 2023 China E-Commerce Conference opened at the National Convention Center in Beijing. This conference is co-sponsored by the Ministry of Commerce and the Beijing Municipal People's Government, hosted by the Department of E-Commerce and Information Technology of the Ministry of Commerce and the Beijing Municipal Bureau of Commerce, and implemented by Yibang Power and the Beijing E-Commerce Association. A total of more than 500 people from 24 provinces, municipalities and autonomous regions across the country, more than 60 commercial authorities at all levels, as well as relevant Beijing departments, district commerce bureaus, domestic and foreign e-commerce companies, and guests from the media attended the opening ceremony of the conference. At the meeting, representatives of the "Silk Road E-commerce" partner countries, Ramiro Ordoqui, Deputy State Secretary for Multilateral and Bilateral Economic Negotiations at the Ministry of Foreign Affairs, International Trade and Religious Affairs of Argentina, Moin Haq, Ambassador of Pakistan to China, They delivered keynote speeches respectively, focusing on the “Belt and Road” countries
- AI 361 2024-07-15 15:53:01
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- Tencent Cloud releases its self-developed big data high-performance computing engine Meson, with performance increased by up to 6 times
- According to news on July 4, Tencent Cloud released Meson, a new self-developed big data high-performance computing engine. Through the integrated application of software and hardware acceleration and intelligent technology, Meson can significantly provide better computing performance for big data tasks in AI and other scenarios, and save more computing resources. For example, in the data lake scenario, Meson can help speed up single data query and analysis by 6 times. In the WeChat Reading "AI Book Questioning" project, Meson helped big data tasks save 90% of resource consumption. At present, Meson has been launched in the three major business lines of Tencent Cloud Data Lake, search analysis services, and cloud data warehouse. As a unified computing acceleration base, Meson provides acceleration services for enterprise big data business. In the field of big data, data storage and computing are crucial core links
- AI 497 2024-07-15 14:38:20
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- Hardware war, computing power competition, genius game: game-breakers in the era of quantitative involution
- This is the best era for quantitative investment. Industry recognition continues to rise, talented people are gathering together, and more technical players are exploring unchartered territory... This is also the "worst" era for quantitative investment, with more intense competition. Laws and cruel elimination mechanisms mean that only by constantly climbing over layers of technological peaks can we "see the mountains and the small mountains at a glance." In 2023, the quantitative private equity industry, which has entered the "trillion" era, has begun an involution known as hardware wars, computing power competitions, and genius games. From barbaric growth to intensive farming, how to face the industry ecosystem where technology and intelligence competition are constantly escalating? Kuande Investment, which has been steadily operating in the domestic market for ten years, is using its own experience to solve problems. Let's take a look at the answers given by the Kuande people. The following video comes from: Kuande
- AI 1181 2024-07-15 12:32:51
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- The spark of large models and embodied intelligence, ICML 2024 MFM-EAI Workshop call for papers and challenge launched
- Workshop homepage: https://icml-mfm-eai.github.io/ Overview In recent years, multimodal foundation models (MFMs), such as CLIP, ImageBind, DALL・E3, GPT-4V, Gemini, and Sora, have become artificial One of the most compelling and rapidly growing fields in intelligence. At the same time, the MFM open source community has also emerged with representative open source projects such as LLaVA, LAMM, MiniGPT-4, StableDiffusion and OpenSora. Different from traditional computer vision and natural language processing models, this type of MFM is actively exploring general problem solutions. By introducing M
- AI 859 2024-07-15 11:57:57
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- Try DuckDuckGo\'s AI Chat for Private Chats With ChatGPT and More
- AI-powered tech is everywhere, but using it often comes with a hidden cost: your privacy. AI tech companies typically collect and store user data, including any personal information you share, to train their AI models and improve output, be that an A
- AI 1279 2024-07-15 11:06:42
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- AlphaFold 3 takes an important step towards decoding molecular behavior and biological computing, a Nature sub-journal commented
- Editor | KX If we fully understood how molecules interact with each other, there would be nothing left to learn about biology, because every biological phenomenon, including how we perceive the world, ultimately stems from the behavior of biomolecules within cells and interaction. The recently launched AlphaFold3 can predict the 3D structure of biomolecular complexes directly from the sequences of proteins, nucleic acids and their ligands. This marks significant progress in our long-term exploration of how biomolecules interact. AlphaFold3 represents a breakthrough in predicting the three-dimensional structure of a complex directly from its sequence, providing insights into biomolecular interactions. 1. The code of a biomolecule A one-dimensional (1D) sequence of a biomolecule (such as a protein or nucleic acid) that specifies a cellular function, something like
- AI 1292 2024-07-15 10:11:49
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- WAIC Observation: Privacy computing is accelerating its implementation in the industry, and a new technical standard system is about to emerge.
- In recent years, people have been talking about big models. Especially under the guidance of ScalingLaw, people hope to use larger-scale data for training to infinitely improve the intelligence level of the model. In China, as a production factor alongside land, labor, capital, and technology, the value of "data" is increasingly valued. In recent years, the pace of market-oriented construction of China's data elements has accelerated significantly. The key to making "data" realize its value lies in the circulation and reuse of data between different subjects and in different scenarios. Data elements are essentially different from traditional production elements. The value of data is two-sided. The greater the business value, the higher the risk cost. Creating a trusted environment for data circulation is the underlying support for fully releasing the value of data elements. In this context, privacy computing technology
- AI 453 2024-07-15 10:08:07
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- More beautiful image generation, minute-level video output, a leapfrog journey of domestic self-developed DiT architecture
- In the blink of an eye, 2024 is already halfway through. It is not difficult to find that there is an increasingly obvious trend in the field of AI, especially AIGC: the Wenshengtu track has entered a stage of steady advancement and accelerating commercial implementation, but at the same time, only generating static images can no longer satisfy people's demand for generative AI capabilities. Looking forward to it, the demand for dynamic video creation has never been higher. Therefore, the Vincent video track continues to be hot, especially since OpenAI released Sora at the beginning of the year, the video generation model with DiffusionTransformer (DiT) as the underlying architecture has ushered in a blowout period. On this track, domestic and foreign video generation model manufacturers are quietly launching a technology competition. In China, a company established in March last year focuses on building visual multi-
- AI 1265 2024-07-12 18:49:14
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- The live scene is shocking! The OmAgent framework is now open source! Industry applications have fully blossomed
- The first company to propose and develop autonomous driving was Google. Coincidentally, the Transformer model it released also laid the foundation for the development of today's large models. Autonomous driving has completed a magnificent transformation from concept to reality, completely reshaping the traditional way of driving. What the large model industry is experiencing is just like the legendary journey of the development of autonomous driving technology - the top R&D teams are competing to join in it and continue to accelerate the development of autonomous driving. Running technology and product innovation, as well as user experience that continues to be pushed to the extreme. In the large model circuit, there is one company that has always been at the forefront, pushing the boundaries of the industry forward. Why Lianhui Technology? When the industry first started to pay attention to large models, they had already anchored multi-modal large models and achieved high scores in the industry and information technology industry.
- AI 648 2024-07-12 18:06:38
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- CVPR best paper candidate | New breakthrough in NeRF, using heuristic-guided segmentation to remove transient interference without additional prior knowledge
- The AIxiv column is a column where this site publishes academic and technical content. In the past few years, the AIxiv column of this site has received more than 2,000 reports, covering top laboratories from major universities and companies around the world, effectively promoting academic exchanges and dissemination. If you have excellent work that you want to share, please feel free to contribute or contact us for reporting. Submission email: liyazhou@jiqizhixin.com; zhaoyunfeng@jiqizhixin.com The first author of the paper is Chen Jiahao, a second-year master's student in the School of Computer Science at Sun Yat-sen University. His research direction is neural rendering and three-dimensional reconstruction. His supervisor is Professor Li Guanbin. The paper was his first work. The corresponding author of the paper is the School of Computer Science and Human-Machine-Object Intelligent Integration Laboratory of Sun Yat-sen University
- AI 963 2024-07-12 17:41:34
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- Done! Here comes another artificially retarded person who replies indiscriminately and breaks the defense of Weibo V.
- Machine Power Report Editor: Yang Wen’s talkative AI assistant doesn’t understand the world at all. Everyone else is crazily posting big models, AI videos, and AI photos, but Sina Weibo is the only one who is blindfolded and crazy about commenting on a small robot. Following the cyber gai "Comment on Robert", Weibo has launched another AI assistant. Weibo's official design for it is as follows: the AI assistant can learn the blogger's language style based on the historical content posted by the blogger, and reply to fans' comments in the blogger's tone, or chat with fans. Ideal is full, the reality is very skinny. This little AI assistant doesn't play according to the routine, and its little mouth is like a poison, destroying every human being who gasps. -1-The donkey’s lips are wrong and the horse’s mouth is blind. Recently, Weibo is testing a product with low traffic.
- AI 1137 2024-07-12 17:20:26
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